Improving boosting performance with a local combination of learners

Efrain Tito Mayhua Lopez; Vanessa Gómez-Verdejo; Aníbal R. Figueiras-Vidal

doi:10.1109/IJCNN.2010.5596317

Improving boosting performance with a local combination of learners

Efrain Tito Mayhua Lopez, Vanessa Gómez-Verdejo, Aníbal R. Figueiras-Vidal

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Scopus citations

Abstract

This work explores the possibility of improving the performance of Real Adaboost ensemble classifiers by replacing their standard linear combination of learners by a gating scheme. This more powerful fusion method is defined following the epoch-by-epoch construction of boosting ensembles. Preliminary experimental results support the potential of this new approach.

Original language	English
Title of host publication	2010 IEEE World Congress on Computational Intelligence, WCCI 2010 - 2010 International Joint Conference on Neural Networks, IJCNN 2010
DOIs	https://doi.org/10.1109/IJCNN.2010.5596317
State	Published - 2010
Externally published	Yes
Event	2010 6th IEEE World Congress on Computational Intelligence, WCCI 2010 - 2010 International Joint Conference on Neural Networks, IJCNN 2010 - Barcelona, Spain Duration: 18 Jul 2010 → 23 Jul 2010

Publication series

Name	Proceedings of the International Joint Conference on Neural Networks

Conference

Conference	2010 6th IEEE World Congress on Computational Intelligence, WCCI 2010 - 2010 International Joint Conference on Neural Networks, IJCNN 2010
Country/Territory	Spain
City	Barcelona
Period	18/07/10 → 23/07/10

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10.1109/IJCNN.2010.5596317

Cite this

Mayhua Lopez, E. T., Gómez-Verdejo, V., & Figueiras-Vidal, A. R. (2010). Improving boosting performance with a local combination of learners. In 2010 IEEE World Congress on Computational Intelligence, WCCI 2010 - 2010 International Joint Conference on Neural Networks, IJCNN 2010 [5596317] (Proceedings of the International Joint Conference on Neural Networks). https://doi.org/10.1109/IJCNN.2010.5596317

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title = "Improving boosting performance with a local combination of learners",

abstract = "This work explores the possibility of improving the performance of Real Adaboost ensemble classifiers by replacing their standard linear combination of learners by a gating scheme. This more powerful fusion method is defined following the epoch-by-epoch construction of boosting ensembles. Preliminary experimental results support the potential of this new approach.",

author = "{Mayhua Lopez}, {Efrain Tito} and Vanessa G{\'o}mez-Verdejo and Figueiras-Vidal, {An{\'i}bal R.}",

year = "2010",

doi = "10.1109/IJCNN.2010.5596317",

language = "Ingl{\'e}s",

isbn = "9781424469178",

series = "Proceedings of the International Joint Conference on Neural Networks",

booktitle = "2010 IEEE World Congress on Computational Intelligence, WCCI 2010 - 2010 International Joint Conference on Neural Networks, IJCNN 2010",

note = "null ; Conference date: 18-07-2010 Through 23-07-2010",

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Mayhua Lopez, ET, Gómez-Verdejo, V & Figueiras-Vidal, AR 2010, Improving boosting performance with a local combination of learners. in 2010 IEEE World Congress on Computational Intelligence, WCCI 2010 - 2010 International Joint Conference on Neural Networks, IJCNN 2010., 5596317, Proceedings of the International Joint Conference on Neural Networks, 2010 6th IEEE World Congress on Computational Intelligence, WCCI 2010 - 2010 International Joint Conference on Neural Networks, IJCNN 2010, Barcelona, Spain, 18/07/10. https://doi.org/10.1109/IJCNN.2010.5596317

Improving boosting performance with a local combination of learners. / Mayhua Lopez, Efrain Tito; Gómez-Verdejo, Vanessa; Figueiras-Vidal, Aníbal R.

2010 IEEE World Congress on Computational Intelligence, WCCI 2010 - 2010 International Joint Conference on Neural Networks, IJCNN 2010. 2010. 5596317 (Proceedings of the International Joint Conference on Neural Networks).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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Mayhua Lopez ET, Gómez-Verdejo V, Figueiras-Vidal AR. Improving boosting performance with a local combination of learners. In 2010 IEEE World Congress on Computational Intelligence, WCCI 2010 - 2010 International Joint Conference on Neural Networks, IJCNN 2010. 2010. 5596317. (Proceedings of the International Joint Conference on Neural Networks). doi: 10.1109/IJCNN.2010.5596317

Improving boosting performance with a local combination of learners

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